Josh Dillon, Last Revised January 2022
This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "54"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = os.environ["ANTENNA"]
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')
antenna = "111" csv_folder = "/home/obs/src/H5C_Notebooks/_rtp_summary_" auto_metrics_folder = "/home/obs/src/H5C_Notebooks/auto_metrics_inspect"
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, '*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')
Found 75 csvs in /home/obs/src/H5C_Notebooks/_rtp_summary_ Found 71 auto_metrics notebooks in /home/obs/src/H5C_Notebooks/auto_metrics_inspect
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0
def jd_to_summary_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'
def jd_to_auto_metrics_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'
this_antenna = None
jds = []
# parse information about antennas and nodes
for csv in csvs:
df = pd.read_csv(csv)
for n in range(len(df)):
# Add this day to the antenna
row = df.loc[n]
antnum = row['Ant']
if antnum != int(antenna):
continue
if this_antenna is None:
this_antenna = Antenna(row['Ant'], row['Node'])
jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
jds.append(jd)
this_antenna.add_day(jd, row)
break
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]
df = pd.DataFrame(to_show)
# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
df[col] = bar_cols[col]
z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
df[col] = z_score_cols[col]
ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
df[col] = ant_metrics_cols[col]
redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]
for col in redcal_cols:
df[col] = redcal_cols[col]
# style dataframe
table = df.style.hide_index()\
.applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
.background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
.background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
.applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
.format({col: '{:,.4f}'.format for col in z_score_cols}) \
.format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
.format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
.set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])
This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))
| JDs | A Priori Status | Auto Metrics Flags | Dead Fraction in Ant Metrics (Jee) | Dead Fraction in Ant Metrics (Jnn) | Crossed Fraction in Ant Metrics | Flag Fraction Before Redcal | Flagged By Redcal chi^2 Fraction | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | Average Dead Ant Metric (Jee) | Average Dead Ant Metric (Jnn) | Average Crossed Ant Metric | Median chi^2 Per Antenna (Jee) | Median chi^2 Per Antenna (Jnn) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2459594 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 1.08% | 0.00% | 1.030239 | -0.798504 | 0.488087 | -0.674357 | -0.005000 | 0.191149 | 0.594438 | -0.822183 | 0.7433 | 0.7696 | 0.2702 | 3.495076 | 3.185999 |
| 2459593 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 2.15% | 0.00% | 0.132891 | 0.007810 | 0.375090 | -0.615650 | 0.920062 | 2.124663 | 0.772172 | 1.203979 | 0.6729 | 0.6692 | 0.2560 | 2.170339 | 2.279452 |
| 2459592 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | 0.225538 | -0.831199 | -0.286897 | -1.043373 | 0.874643 | 2.628865 | 1.806705 | 0.005166 | 0.0302 | 0.0548 | 0.0029 | nan | nan |
| 2459591 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 1.62% | 2.16% | -0.059679 | 0.551087 | 0.397884 | -0.233437 | -0.543929 | 0.769960 | 3.527943 | 1.500173 | 0.6098 | 0.6196 | 0.3577 | 1.702141 | 1.673630 |
| 2459590 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 1.62% | 0.00% | 0.117183 | 0.683928 | -0.023469 | -0.595132 | -1.249067 | 0.768934 | 3.323477 | 1.687596 | 0.6176 | 0.6243 | 0.3511 | 2.023269 | 2.035366 |
| 2459589 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 2.69% | 0.00% | 0.043174 | 0.280614 | -0.688361 | -0.647800 | -1.118459 | 0.343516 | -0.059712 | 0.030487 | 0.6572 | 0.6556 | 0.2895 | 1.999076 | 1.868572 |
| 2459588 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 2.69% | 0.00% | 0.750703 | -0.433652 | 0.812878 | -0.900037 | -0.354473 | 0.939214 | 1.089788 | -0.079955 | 0.7051 | 0.6926 | 0.2396 | 2.903346 | 2.434982 |
| 2459587 | digital_ok | 100.00% | - | - | - | 100.00% | 0.00% | 0.161072 | 0.848468 | 1.443546 | 0.135349 | 0.789045 | 0.434838 | 7.023342 | 4.361103 | nan | nan | nan | 14.299915 | 17.507083 |
| 2459586 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 3.24% | 0.00% | -0.369891 | -0.146913 | -0.812807 | 0.332237 | -0.756963 | -0.541813 | 2.808959 | 0.198325 | 0.6200 | 0.6290 | 0.3372 | 1.619291 | 1.600536 |
| 2459585 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.394059 | 0.456597 | -0.461865 | 0.040009 | -0.442059 | 0.963539 | 3.013730 | 1.225868 | 0.0333 | 0.0535 | 0.0035 | 0.000000 | 0.000000 |
| 2459584 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.086572 | 0.487141 | -0.968600 | -0.928986 | 0.419995 | 0.216222 | 4.813507 | 0.483494 | 0.5671 | 0.5774 | 0.3492 | 8.179404 | 8.319624 |
| 2459583 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 3.23% | 0.00% | -0.294735 | 0.133781 | -0.910014 | -0.902286 | -0.035935 | 0.395245 | 3.783255 | 0.227907 | 0.6218 | 0.6326 | 0.3694 | 1.705483 | 1.764049 |
| 2459582 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 2.70% | 0.00% | -0.463642 | 0.077516 | -0.718251 | -0.749065 | -0.674305 | 0.541269 | 1.088377 | -0.393594 | 0.6282 | 0.6367 | 0.3703 | 1.733832 | 1.771036 |
| 2459581 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
| 2459580 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.087941 | 0.220063 | -0.770064 | -0.746155 | -0.059836 | 0.530015 | 6.957278 | 1.047005 | 0.6327 | 0.6410 | 0.3685 | 4.969878 | 4.764771 |
| 2459579 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 3.76% | 0.00% | -0.289787 | -0.019441 | -0.752754 | -0.752327 | -0.708867 | 0.302398 | -0.296876 | -0.431434 | 0.6293 | 0.6376 | 0.3729 | 1.891358 | 1.837719 |
| 2459578 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | -0.494626 | -0.049302 | -0.879123 | -0.379944 | -0.523964 | 5.704517 | 1.248087 | -0.291814 | 0.0311 | 0.0550 | 0.0026 | nan | nan |
| 2459577 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
| 2459576 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 4.30% | 0.00% | -0.082913 | 0.497685 | -0.345945 | -0.674720 | -0.664990 | 0.702421 | 0.035853 | 1.789451 | 0.6508 | 0.6612 | 0.3708 | 1.582095 | 1.698300 |
| 2459575 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 5.91% | 6.45% | 0.291683 | -0.174148 | -0.812285 | -0.819593 | -0.914272 | -0.220865 | -0.812640 | -0.727637 | 0.7213 | 0.7240 | 0.3200 | 1.656265 | 1.734988 |
| 2459574 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 3.78% | 0.00% | 0.051669 | 0.683704 | -0.691430 | -0.874946 | -0.193861 | 1.189886 | 0.492875 | 1.660536 | 0.6486 | 0.6576 | 0.3720 | 1.551921 | 1.648025 |
| 2459573 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 3.78% | 0.54% | 0.206462 | -0.003790 | -0.812884 | -0.797101 | -0.860120 | 0.819807 | 1.001198 | 0.429857 | 0.6447 | 0.6551 | 0.3746 | 1.648334 | 1.651773 |
| 2459572 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 3.78% | 0.00% | -0.228370 | -0.130944 | -0.639285 | -0.808842 | -0.937967 | 0.378021 | -0.283682 | 0.018678 | 0.6452 | 0.6548 | 0.3756 | 1.409257 | 1.487602 |
| 2459571 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | -0.331945 | -0.002286 | -0.886867 | -0.487344 | 0.343369 | 4.927018 | 1.918848 | 0.572947 | 0.0285 | 0.0435 | 0.0028 | nan | nan |
| 2459570 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
| 2459569 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 4.32% | 0.54% | 0.113426 | 0.551061 | -0.733166 | -0.865054 | -0.644803 | -0.323725 | -0.645666 | -0.693113 | 0.7292 | 0.7350 | 0.2366 | 2.388378 | 2.243753 |
| 2459566 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 4.32% | 0.00% | 0.037616 | 2.052525 | -0.771687 | -0.687515 | -0.964476 | 0.004281 | 1.729165 | 2.674174 | 0.6435 | 0.6481 | 0.3784 | 1.726373 | 1.785017 |
| 2459565 | digital_ok | 0.00% | - | - | - | 93.33% | 0.00% | 1.518751 | 1.518751 | 1.412081 | 1.412081 | 0.654293 | 0.654293 | 0.137774 | 0.137774 | nan | nan | nan | 0.000000 | 0.000000 |
| 2459564 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 5.20% | 0.00% | -0.347584 | 0.786402 | -0.375490 | -0.683745 | -0.041339 | 0.010991 | 2.886871 | 0.935144 | 0.6469 | 0.6482 | 0.3828 | 1.677714 | 1.610273 |
| 2459563 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 5.38% | 0.00% | -0.101269 | 1.129734 | -0.813355 | -0.668473 | -0.969156 | 0.323007 | -0.519430 | -0.313475 | 0.6484 | 0.6522 | 0.3732 | 1.625158 | 1.754690 |
| 2459562 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 4.86% | 0.00% | -0.340689 | 0.426075 | -0.091526 | -0.242299 | 0.267303 | 0.248510 | -0.053457 | -0.022559 | 0.6483 | 0.6549 | 0.3761 | 1.767222 | 1.716891 |
| 2459561 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 4.86% | 0.00% | -0.402854 | 0.713114 | -0.335164 | -0.352024 | -0.274052 | 0.215830 | -0.076862 | 0.588002 | 0.6545 | 0.6642 | 0.3734 | 1.593219 | 1.672824 |
| 2459560 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 4.86% | 0.00% | -0.257684 | 0.540380 | -0.095223 | -0.356365 | -0.228249 | 0.386169 | 0.594689 | 0.782915 | 0.6509 | 0.6546 | 0.3788 | 1.691774 | 1.673070 |
| 2459559 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 5.38% | 0.00% | -0.445216 | 0.592406 | -0.244595 | -0.418835 | -0.268273 | 0.291277 | 0.212196 | 0.508845 | 0.6509 | 0.6564 | 0.3675 | 1.608169 | 1.616858 |
| 2459558 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.070358 | 1.193353 | -0.617708 | -0.714731 | 0.058136 | 0.627967 | 4.448566 | 2.273695 | 0.6554 | 0.6590 | 0.3750 | 4.148724 | 4.125412 |
| 2459557 | digital_ok | - | 100.00% | 100.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.0356 | 0.0510 | 0.0057 | nan | nan |
| 2459556 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 4.86% | 0.00% | -0.221732 | 1.188479 | -0.844112 | -0.763230 | -1.176816 | 0.603114 | -0.639337 | 1.404973 | 0.6467 | 0.6525 | 0.3767 | 1.563265 | 1.618217 |
| 2459554 | digital_ok | - | 0.00% | 0.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.6553 | 0.6597 | 0.3844 | nan | nan |
| 2459553 | digital_ok | - | 0.00% | 0.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.6531 | 0.6583 | 0.3820 | nan | nan |
| 2459552 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.657019 | 10.850221 | -0.865695 | -0.054107 | -0.850044 | 1.805579 | 0.167068 | 1.341175 | 0.6578 | 0.6467 | 0.3774 | 4.830095 | 4.802019 |
| 2459551 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.385923 | 5.054793 | -0.187730 | -0.519611 | 0.037715 | -0.517392 | 0.572793 | 1.467035 | 0.6459 | 0.6365 | 0.3765 | 4.229894 | 3.517508 |
| 2459550 | digital_ok | - | 100.00% | 100.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.0307 | 0.0458 | 0.0033 | nan | nan |
| 2459549 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.246240 | 8.175138 | -0.894784 | -0.331279 | -0.569175 | 1.284080 | 4.417077 | 2.659340 | 0.6503 | 0.6438 | 0.3844 | 3.681620 | 3.394282 |
| 2459542 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.070353 | 9.883434 | -0.601544 | 0.173976 | -0.405813 | -0.132790 | 0.984609 | 1.704581 | 0.7195 | 0.7092 | 0.3442 | 3.930310 | 3.479072 |
| 2459541 | digital_ok | 100.00% | 1.34% | 1.34% | 0.00% | 100.00% | 0.00% | 0.397770 | 9.469768 | -1.048516 | -0.346876 | -0.775562 | 1.399138 | 0.645701 | 0.341487 | 0.7105 | 0.6985 | 0.3234 | 5.017814 | 4.286880 |
| 2459540 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 21.88% | 0.00% | -0.098451 | -0.547158 | -0.503740 | -0.301694 | 1.171379 | -0.569108 | 1.561610 | 0.445364 | 0.7181 | 0.7175 | 0.3355 | 1.537411 | 1.534650 |
| 2459536 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 0.407314 | -0.181707 | -0.452669 | -0.465524 | -0.141890 | 6.312693 | 11.912176 | 1.713993 | 0.0606 | 0.0704 | 0.0076 | 0.000000 | 0.000000 |
| 2459535 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.227648 | -0.731946 | -0.307094 | -0.299048 | 1.067822 | -0.101874 | 1.959425 | 0.457328 | 0.0772 | 0.0649 | 0.0089 | 1.325137 | 1.325662 |
| 2459534 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.280333 | -1.021580 | -0.390243 | -0.324343 | 1.459497 | 0.536323 | 4.907429 | 1.039300 | 0.0682 | 0.0633 | 0.0073 | 4.074878 | 4.282532 |
| 2459533 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.114057 | -0.409082 | -0.767816 | -0.703400 | -0.292010 | 0.826701 | 0.296086 | 0.134371 | 0.0626 | 0.0655 | 0.0075 | 16.753272 | 18.522879 |
| 2459532 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.147092 | -0.265940 | -0.882196 | -0.897239 | 0.040614 | 0.284105 | 2.203901 | 0.046763 | 0.0602 | 0.0606 | 0.0062 | 16.909080 | 17.955740 |
| 2459530 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.531498 | 0.097147 | -0.204184 | -0.343169 | -0.163018 | 0.836398 | 4.356072 | 5.818512 | 0.0671 | 0.0673 | 0.0078 | 0.000000 | 0.000000 |
| 2459527 | digital_ok | 0.00% | - | - | - | 100.00% | 0.00% | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
| 2459524 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.016798 | 1.400342 | -0.636545 | -0.836396 | -0.846560 | 2.502797 | 0.188922 | 0.923657 | 0.9115 | 0.9378 | 0.2968 | 0.000000 | 0.000000 |
| 2459523 | digital_ok | 100.00% | - | - | - | 100.00% | 0.00% | -0.012046 | 4.979153 | -0.563185 | -0.625905 | 1.974529 | 2.639024 | 2.105321 | 2.551361 | nan | nan | nan | 13.150715 | 13.109267 |
| 2459522 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.334033 | 3.576851 | -0.958689 | -0.666865 | 0.550082 | 1.613934 | 12.473738 | 1.914591 | 0.6280 | 0.6936 | 0.3927 | 0.000000 | 0.000000 |
| 2459513 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | -0.201714 | -0.021659 | -0.832405 | -0.843886 | 0.273817 | 10.824975 | 5.764568 | 1.745869 | 0.0433 | 0.0472 | 0.0062 | nan | nan |
| 2459508 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 81.58% | 0.00% | -0.203186 | -0.366408 | -0.834595 | -1.045321 | -0.738589 | 1.161945 | -0.573253 | -0.717585 | 0.9069 | 0.9536 | 0.1880 | 0.000000 | 0.000000 |
| 2459505 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.072639 | -0.323184 | -0.842493 | -0.786752 | -0.278178 | 7.130197 | 15.130453 | 6.299730 | 0.8856 | 0.8648 | 0.1974 | 14.708673 | 18.056835 |
| 2459503 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.087135 | -0.571423 | -0.875453 | -0.903513 | 0.271118 | 1.538567 | 7.233667 | 4.259357 | 0.8652 | 0.8594 | 0.4393 | 0.000000 | 0.000000 |
| 2459501 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 76.74% | 0.00% | -0.207997 | 0.199750 | -0.147310 | -0.682272 | -0.400873 | -0.291778 | 2.425849 | 2.723580 | 0.8675 | 0.9036 | 0.3563 | 0.000000 | 0.000000 |
| 2459500 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 94.74% | 0.00% | 0.493060 | -0.558249 | 0.234236 | -1.265195 | 2.345962 | 0.566840 | 3.462716 | 1.315118 | 0.8718 | 0.8983 | 0.3477 | 0.000000 | 0.000000 |
| 2459499 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 97.37% | 0.00% | -0.349310 | -0.394726 | -0.712829 | -1.304213 | 0.318045 | -0.035294 | 0.130676 | 1.149152 | 0.8942 | 0.9404 | 0.1611 | 0.000000 | 0.000000 |
| 2459498 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.365529 | -0.516323 | -0.605846 | -0.904898 | 0.316919 | 1.285156 | 0.009038 | 6.570974 | 0.8834 | 0.9000 | 0.3749 | 0.000000 | 0.000000 |
| 2459497 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 97.37% | 0.00% | -0.564519 | -0.263881 | -0.660112 | -0.667569 | 0.306732 | 0.372829 | 3.448443 | -0.161737 | 0.8966 | 0.9323 | 0.3009 | 0.000000 | 0.000000 |
| 2459496 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 94.74% | 0.00% | -0.590001 | -0.643852 | -0.726381 | -0.848856 | 0.342143 | 0.449419 | 3.257925 | 2.742722 | 0.9098 | 0.9155 | 0.3528 | 0.000000 | 0.000000 |
| 2459495 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.472996 | -0.349877 | -0.809918 | -0.653967 | 0.614290 | 0.921580 | 4.327056 | 4.963132 | 0.9045 | 0.9111 | 0.3882 | 0.000000 | 0.000000 |
| 2459494 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 94.74% | 0.00% | -0.595547 | -0.491904 | -0.484581 | -0.921576 | 1.049362 | 0.834880 | -0.782529 | 1.641059 | 0.8946 | 0.9028 | 0.3992 | 0.000000 | 0.000000 |
| 2459492 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.741812 | 0.764757 | -1.329543 | -0.302579 | -1.498275 | 4.107407 | -0.068678 | 9.160159 | 0.7600 | 0.8149 | 0.3182 | 7.653890 | 6.671247 |
| 2459491 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 50.00% | 0.00% | 0.697574 | 0.543775 | -1.409529 | -0.640675 | -0.771987 | 0.743444 | 1.768027 | 1.668492 | 0.7992 | 0.8266 | 0.2672 | 0.728595 | 0.674039 |
| 2459490 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 47.37% | 0.00% | -0.022305 | 0.876384 | -1.916131 | -0.378699 | -1.117740 | 2.218552 | 0.616841 | 1.532236 | 0.7508 | 0.8106 | 0.3647 | 1.484569 | 1.408502 |
| 2459489 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 47.37% | 0.00% | 0.827794 | 1.256907 | -1.582486 | -0.557545 | -0.918544 | 2.894831 | 0.921070 | 1.541893 | 0.7694 | 0.8158 | 0.3219 | 1.636780 | 1.594677 |
| 2459488 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.091359 | 0.769959 | -1.151308 | -0.441924 | -1.319977 | 2.880291 | 0.452902 | 7.733965 | 0.7667 | 0.8186 | 0.3423 | 0.000000 | 0.000000 |
auto_metrics notebooks.¶html_to_display = ''
for am_html in auto_metric_htmls:
# read html into a list of lines
with open(am_html) as f:
lines = f.readlines()
# find section with this antenna's metric plots and add to html_to_display
jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
try:
section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
except ValueError:
continue
html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
for line in lines[section_start_line + 1:]:
html_to_display += line
if '<hr' in line:
break
These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD).
HTML(html_to_display)
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 111 | 10 | digital_ok | nn Shape | 1.349739 | 1.349739 | -0.308715 | -0.544955 | -0.711155 | 0.572812 | -0.808757 | -0.491581 | -0.537168 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 111 | 10 | digital_ok | ee Shape | 1.030239 | 1.030239 | -0.798504 | 0.488087 | -0.674357 | -0.005000 | 0.191149 | 0.594438 | -0.822183 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 111 | 10 | digital_ok | nn Temporal Variability | 2.124663 | 0.132891 | 0.007810 | 0.375090 | -0.615650 | 0.920062 | 2.124663 | 0.772172 | 1.203979 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 111 | 10 | digital_ok | nn Temporal Variability | 2.628865 | -0.831199 | 0.225538 | -1.043373 | -0.286897 | 2.628865 | 0.874643 | 0.005166 | 1.806705 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 111 | 10 | digital_ok | ee Temporal Discontinuties | 3.527943 | 0.551087 | -0.059679 | -0.233437 | 0.397884 | 0.769960 | -0.543929 | 1.500173 | 3.527943 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 111 | 10 | digital_ok | ee Temporal Discontinuties | 3.323477 | 0.117183 | 0.683928 | -0.023469 | -0.595132 | -1.249067 | 0.768934 | 3.323477 | 1.687596 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 111 | 10 | digital_ok | nn Temporal Variability | 0.343516 | 0.280614 | 0.043174 | -0.647800 | -0.688361 | 0.343516 | -1.118459 | 0.030487 | -0.059712 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 111 | 10 | digital_ok | ee Temporal Discontinuties | 1.089788 | 0.750703 | -0.433652 | 0.812878 | -0.900037 | -0.354473 | 0.939214 | 1.089788 | -0.079955 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 111 | 10 | digital_ok | ee Temporal Discontinuties | 7.023342 | 0.848468 | 0.161072 | 0.135349 | 1.443546 | 0.434838 | 0.789045 | 4.361103 | 7.023342 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 111 | 10 | digital_ok | ee Temporal Discontinuties | 2.808959 | -0.369891 | -0.146913 | -0.812807 | 0.332237 | -0.756963 | -0.541813 | 2.808959 | 0.198325 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 111 | 10 | digital_ok | ee Temporal Discontinuties | 3.013730 | -0.394059 | 0.456597 | -0.461865 | 0.040009 | -0.442059 | 0.963539 | 3.013730 | 1.225868 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 111 | 10 | digital_ok | ee Temporal Discontinuties | 4.813507 | 0.086572 | 0.487141 | -0.968600 | -0.928986 | 0.419995 | 0.216222 | 4.813507 | 0.483494 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 111 | 10 | digital_ok | ee Temporal Discontinuties | 3.783255 | -0.294735 | 0.133781 | -0.910014 | -0.902286 | -0.035935 | 0.395245 | 3.783255 | 0.227907 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 111 | 10 | digital_ok | ee Temporal Discontinuties | 1.088377 | 0.077516 | -0.463642 | -0.749065 | -0.718251 | 0.541269 | -0.674305 | -0.393594 | 1.088377 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 111 | 10 | digital_ok | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 111 | 10 | digital_ok | ee Temporal Discontinuties | 6.957278 | 0.220063 | -0.087941 | -0.746155 | -0.770064 | 0.530015 | -0.059836 | 1.047005 | 6.957278 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 111 | 10 | digital_ok | nn Temporal Variability | 0.302398 | -0.289787 | -0.019441 | -0.752754 | -0.752327 | -0.708867 | 0.302398 | -0.296876 | -0.431434 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 111 | 10 | digital_ok | nn Temporal Variability | 5.704517 | -0.494626 | -0.049302 | -0.879123 | -0.379944 | -0.523964 | 5.704517 | 1.248087 | -0.291814 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 111 | 10 | digital_ok | nn Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 111 | 10 | digital_ok | nn Temporal Discontinuties | 1.789451 | 0.497685 | -0.082913 | -0.674720 | -0.345945 | 0.702421 | -0.664990 | 1.789451 | 0.035853 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 111 | 10 | digital_ok | ee Shape | 0.291683 | -0.174148 | 0.291683 | -0.819593 | -0.812285 | -0.220865 | -0.914272 | -0.727637 | -0.812640 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 111 | 10 | digital_ok | nn Temporal Discontinuties | 1.660536 | 0.051669 | 0.683704 | -0.691430 | -0.874946 | -0.193861 | 1.189886 | 0.492875 | 1.660536 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 111 | 10 | digital_ok | ee Temporal Discontinuties | 1.001198 | -0.003790 | 0.206462 | -0.797101 | -0.812884 | 0.819807 | -0.860120 | 0.429857 | 1.001198 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 111 | 10 | digital_ok | nn Temporal Variability | 0.378021 | -0.130944 | -0.228370 | -0.808842 | -0.639285 | 0.378021 | -0.937967 | 0.018678 | -0.283682 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 111 | 10 | digital_ok | nn Temporal Variability | 4.927018 | -0.002286 | -0.331945 | -0.487344 | -0.886867 | 4.927018 | 0.343369 | 0.572947 | 1.918848 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 111 | 10 | digital_ok | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 111 | 10 | digital_ok | nn Shape | 0.551061 | 0.551061 | 0.113426 | -0.865054 | -0.733166 | -0.323725 | -0.644803 | -0.693113 | -0.645666 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 111 | 10 | digital_ok | nn Temporal Discontinuties | 2.674174 | 2.052525 | 0.037616 | -0.687515 | -0.771687 | 0.004281 | -0.964476 | 2.674174 | 1.729165 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 111 | 10 | digital_ok | nn Shape | 1.518751 | 1.518751 | 1.518751 | 1.412081 | 1.412081 | 0.654293 | 0.654293 | 0.137774 | 0.137774 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 111 | 10 | digital_ok | ee Temporal Discontinuties | 2.886871 | -0.347584 | 0.786402 | -0.375490 | -0.683745 | -0.041339 | 0.010991 | 2.886871 | 0.935144 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 111 | 10 | digital_ok | nn Shape | 1.129734 | -0.101269 | 1.129734 | -0.813355 | -0.668473 | -0.969156 | 0.323007 | -0.519430 | -0.313475 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 111 | 10 | digital_ok | nn Shape | 0.426075 | -0.340689 | 0.426075 | -0.091526 | -0.242299 | 0.267303 | 0.248510 | -0.053457 | -0.022559 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 111 | 10 | digital_ok | nn Shape | 0.713114 | -0.402854 | 0.713114 | -0.335164 | -0.352024 | -0.274052 | 0.215830 | -0.076862 | 0.588002 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 111 | 10 | digital_ok | nn Temporal Discontinuties | 0.782915 | -0.257684 | 0.540380 | -0.095223 | -0.356365 | -0.228249 | 0.386169 | 0.594689 | 0.782915 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 111 | 10 | digital_ok | nn Shape | 0.592406 | -0.445216 | 0.592406 | -0.244595 | -0.418835 | -0.268273 | 0.291277 | 0.212196 | 0.508845 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 111 | 10 | digital_ok | ee Temporal Discontinuties | 4.448566 | 1.193353 | 0.070358 | -0.714731 | -0.617708 | 0.627967 | 0.058136 | 2.273695 | 4.448566 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 111 | 10 | digital_ok | nn Temporal Discontinuties | 1.404973 | 1.188479 | -0.221732 | -0.763230 | -0.844112 | 0.603114 | -1.176816 | 1.404973 | -0.639337 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 111 | 10 | digital_ok | nn Shape | 10.850221 | 10.850221 | 0.657019 | -0.054107 | -0.865695 | 1.805579 | -0.850044 | 1.341175 | 0.167068 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 111 | 10 | digital_ok | nn Shape | 5.054793 | 5.054793 | -0.385923 | -0.519611 | -0.187730 | -0.517392 | 0.037715 | 1.467035 | 0.572793 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 111 | 10 | digital_ok | nn Shape | 8.175138 | 0.246240 | 8.175138 | -0.894784 | -0.331279 | -0.569175 | 1.284080 | 4.417077 | 2.659340 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 111 | 10 | digital_ok | nn Shape | 9.883434 | 9.883434 | 0.070353 | 0.173976 | -0.601544 | -0.132790 | -0.405813 | 1.704581 | 0.984609 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 111 | 10 | digital_ok | nn Shape | 9.469768 | 9.469768 | 0.397770 | -0.346876 | -1.048516 | 1.399138 | -0.775562 | 0.341487 | 0.645701 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 111 | 10 | digital_ok | ee Temporal Discontinuties | 1.561610 | -0.547158 | -0.098451 | -0.301694 | -0.503740 | -0.569108 | 1.171379 | 0.445364 | 1.561610 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 111 | 10 | digital_ok | ee Temporal Discontinuties | 11.912176 | -0.181707 | 0.407314 | -0.465524 | -0.452669 | 6.312693 | -0.141890 | 1.713993 | 11.912176 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 111 | 10 | digital_ok | ee Temporal Discontinuties | 1.959425 | -0.227648 | -0.731946 | -0.307094 | -0.299048 | 1.067822 | -0.101874 | 1.959425 | 0.457328 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 111 | 10 | digital_ok | ee Temporal Discontinuties | 4.907429 | -1.021580 | -0.280333 | -0.324343 | -0.390243 | 0.536323 | 1.459497 | 1.039300 | 4.907429 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 111 | 10 | digital_ok | nn Temporal Variability | 0.826701 | -0.114057 | -0.409082 | -0.767816 | -0.703400 | -0.292010 | 0.826701 | 0.296086 | 0.134371 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 111 | 10 | digital_ok | ee Temporal Discontinuties | 2.203901 | -0.147092 | -0.265940 | -0.882196 | -0.897239 | 0.040614 | 0.284105 | 2.203901 | 0.046763 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 111 | 10 | digital_ok | nn Temporal Discontinuties | 5.818512 | 0.097147 | -0.531498 | -0.343169 | -0.204184 | 0.836398 | -0.163018 | 5.818512 | 4.356072 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 111 | 10 | digital_ok | nn Shape | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 111 | 10 | digital_ok | nn Temporal Variability | 2.502797 | -0.016798 | 1.400342 | -0.636545 | -0.836396 | -0.846560 | 2.502797 | 0.188922 | 0.923657 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 111 | 10 | digital_ok | nn Shape | 4.979153 | -0.012046 | 4.979153 | -0.563185 | -0.625905 | 1.974529 | 2.639024 | 2.105321 | 2.551361 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 111 | 10 | digital_ok | ee Temporal Discontinuties | 12.473738 | 3.576851 | 0.334033 | -0.666865 | -0.958689 | 1.613934 | 0.550082 | 1.914591 | 12.473738 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 111 | 10 | digital_ok | nn Temporal Variability | 10.824975 | -0.021659 | -0.201714 | -0.843886 | -0.832405 | 10.824975 | 0.273817 | 1.745869 | 5.764568 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 111 | 10 | digital_ok | nn Temporal Variability | 1.161945 | -0.366408 | -0.203186 | -1.045321 | -0.834595 | 1.161945 | -0.738589 | -0.717585 | -0.573253 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 111 | 10 | digital_ok | nn Temporal Discontinuties | 3.505410 | 0.114393 | 0.014387 | -0.976321 | -0.871352 | -0.499070 | 0.744534 | 0.586919 | 3.505410 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 111 | 10 | digital_ok | ee Temporal Discontinuties | 15.130453 | -0.323184 | 0.072639 | -0.786752 | -0.842493 | 7.130197 | -0.278178 | 6.299730 | 15.130453 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 111 | 10 | digital_ok | ee Temporal Discontinuties | 7.233667 | -0.087135 | -0.571423 | -0.875453 | -0.903513 | 0.271118 | 1.538567 | 7.233667 | 4.259357 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 111 | 10 | digital_ok | nn Temporal Discontinuties | 2.723580 | -0.207997 | 0.199750 | -0.147310 | -0.682272 | -0.400873 | -0.291778 | 2.425849 | 2.723580 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 111 | 10 | digital_ok | ee Temporal Discontinuties | 3.462716 | 0.493060 | -0.558249 | 0.234236 | -1.265195 | 2.345962 | 0.566840 | 3.462716 | 1.315118 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 111 | 10 | digital_ok | nn Temporal Discontinuties | 1.149152 | -0.394726 | -0.349310 | -1.304213 | -0.712829 | -0.035294 | 0.318045 | 1.149152 | 0.130676 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 111 | 10 | digital_ok | nn Temporal Discontinuties | 6.570974 | -0.365529 | -0.516323 | -0.605846 | -0.904898 | 0.316919 | 1.285156 | 0.009038 | 6.570974 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 111 | 10 | digital_ok | ee Temporal Discontinuties | 3.448443 | -0.263881 | -0.564519 | -0.667569 | -0.660112 | 0.372829 | 0.306732 | -0.161737 | 3.448443 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 111 | 10 | digital_ok | ee Temporal Discontinuties | 3.257925 | -0.590001 | -0.643852 | -0.726381 | -0.848856 | 0.342143 | 0.449419 | 3.257925 | 2.742722 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 111 | 10 | digital_ok | nn Temporal Discontinuties | 4.963132 | -0.472996 | -0.349877 | -0.809918 | -0.653967 | 0.614290 | 0.921580 | 4.327056 | 4.963132 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 111 | 10 | digital_ok | nn Temporal Discontinuties | 1.641059 | -0.491904 | -0.595547 | -0.921576 | -0.484581 | 0.834880 | 1.049362 | 1.641059 | -0.782529 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 111 | 10 | digital_ok | nn Temporal Discontinuties | 9.160159 | 0.764757 | 0.741812 | -0.302579 | -1.329543 | 4.107407 | -1.498275 | 9.160159 | -0.068678 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 111 | 10 | digital_ok | ee Temporal Discontinuties | 1.768027 | 0.697574 | 0.543775 | -1.409529 | -0.640675 | -0.771987 | 0.743444 | 1.768027 | 1.668492 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 111 | 10 | digital_ok | nn Temporal Variability | 2.218552 | 0.876384 | -0.022305 | -0.378699 | -1.916131 | 2.218552 | -1.117740 | 1.532236 | 0.616841 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 111 | 10 | digital_ok | nn Temporal Variability | 2.894831 | 0.827794 | 1.256907 | -1.582486 | -0.557545 | -0.918544 | 2.894831 | 0.921070 | 1.541893 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 111 | 10 | digital_ok | nn Temporal Discontinuties | 7.733965 | 1.091359 | 0.769959 | -1.151308 | -0.441924 | -1.319977 | 2.880291 | 0.452902 | 7.733965 |